- Zumel, N. & Mount, J. Practical Data Science with R. (Manning, 2014). ISBN-10: 1617291560
- R for Data Science: Visualize, Model, Transform, Tidy, and Import Data, (1st Edition) by Hadley Wickham & Garrett Grolemund
- ?How to Measure Anything Workbook: Finding the Value of Intangibles in Business
- ?Additional material (Credit by Thomas M. Carsey, carsey@unc.edu)
- Data Mining with R: Learning with Case Studies, by Torgo, http://www.dcc.fc.up.pt/~ltorgo/DataMiningWithR/
- An Introduction to Data Science, Version 3, by Stanton, http://jsresearch.net/
- Machine Learning with R by Lantz, http://www.packtpub.com/machine-learning-with-r/book
- A Simple Introduction to Data Science, by Burlingame and Nielsen, http://newstreetcommunications.com/businesstechnical/a_simple_introduction_to_data_science
- Ethics of Big Data, by Davis, http://shop.oreilly.com/product/0636920021872.do
- Privacy and Big Data, by Craig and Ludloff, http://shop.oreilly.com/product/0636920020103.do
- Doing Data Science: Straight Talk from the Frontline, by O’Neil and Schutt, http://shop.oreilly.com/product/0636920028529.do
- Springer Textbooks Use R! Series, http://www.springer.com/series/6991
- Online search tool Rseek, http://www.rseek.org/
- ?The Odum Institute’s online course, http://www.odum.unc.edu/odum/contentSubpage.jsp?nodeid=670
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